In today's world, Connectionist expert system has become a topic of great relevance and interest to a wide spectrum of people. Whether it is a new technological advance, a scientific discovery or a historical event, Connectionist expert system has captured the attention of many and generated intense debate in different areas. From experts in the field to ordinary people with a particular interest in the topic, the discussion around Connectionist expert system has become increasingly important in recent times. In this article, we will explore in detail the different facets of Connectionist expert system and its impact on today's society.
Connectionist expert systems are artificial neural network (ANN) based expert systems where the ANN generates inferencing rules e.g., fuzzy-multi layer perceptron where linguistic and natural form of inputs are used. Apart from that, rough set theory may be used for encoding knowledge in the weights better and also genetic algorithms may be used to optimize the search solutions better. Symbolic reasoning methods may also be incorporated (see hybrid intelligent system). (Also see expert system, neural network, clinical decision support system.)